Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection
This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection.
Autor*in: |
Li, Tiancheng [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Umfang: |
11 |
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Übergeordnetes Werk: |
Enthalten in: Atomic collapse in graphene quantum dots in a magnetic field - Eren, I. ELSEVIER, 2022, the official journal of the World Federation on Soft Computing (WFSC), Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:60 ; year:2017 ; pages:436-446 ; extent:11 |
Links: |
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DOI / URN: |
10.1016/j.asoc.2017.07.012 |
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Katalog-ID: |
ELV040837122 |
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10.1016/j.asoc.2017.07.012 doi GBV00000000000384.pica (DE-627)ELV040837122 (ELSEVIER)S1568-4946(17)30421-0 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Li, Tiancheng verfasserin aut Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection. Constrained clustering Elsevier Multi-target detection Elsevier Sensor fusion Elsevier Object identification Elsevier De la Prieta Pintado, Fernando oth Corchado, Juan M. oth Bajo, Javier oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:60 year:2017 pages:436-446 extent:11 https://doi.org/10.1016/j.asoc.2017.07.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 60 2017 436-446 11 |
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10.1016/j.asoc.2017.07.012 doi GBV00000000000384.pica (DE-627)ELV040837122 (ELSEVIER)S1568-4946(17)30421-0 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Li, Tiancheng verfasserin aut Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection. Constrained clustering Elsevier Multi-target detection Elsevier Sensor fusion Elsevier Object identification Elsevier De la Prieta Pintado, Fernando oth Corchado, Juan M. oth Bajo, Javier oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:60 year:2017 pages:436-446 extent:11 https://doi.org/10.1016/j.asoc.2017.07.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 60 2017 436-446 11 |
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10.1016/j.asoc.2017.07.012 doi GBV00000000000384.pica (DE-627)ELV040837122 (ELSEVIER)S1568-4946(17)30421-0 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Li, Tiancheng verfasserin aut Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection. Constrained clustering Elsevier Multi-target detection Elsevier Sensor fusion Elsevier Object identification Elsevier De la Prieta Pintado, Fernando oth Corchado, Juan M. oth Bajo, Javier oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:60 year:2017 pages:436-446 extent:11 https://doi.org/10.1016/j.asoc.2017.07.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 60 2017 436-446 11 |
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10.1016/j.asoc.2017.07.012 doi GBV00000000000384.pica (DE-627)ELV040837122 (ELSEVIER)S1568-4946(17)30421-0 DE-627 ger DE-627 rakwb eng 540 530 VZ 33.00 bkl Li, Tiancheng verfasserin aut Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection. Constrained clustering Elsevier Multi-target detection Elsevier Sensor fusion Elsevier Object identification Elsevier De la Prieta Pintado, Fernando oth Corchado, Juan M. oth Bajo, Javier oth Enthalten in Elsevier Science Eren, I. ELSEVIER Atomic collapse in graphene quantum dots in a magnetic field 2022 the official journal of the World Federation on Soft Computing (WFSC) Amsterdam [u.a.] (DE-627)ELV007866305 volume:60 year:2017 pages:436-446 extent:11 https://doi.org/10.1016/j.asoc.2017.07.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 33.00 Physik: Allgemeines VZ AR 60 2017 436-446 11 |
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Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection |
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This paper investigates a particular data mining problem which is to ‘identify’ an unknown number of targets from noisy observations that are collected from multiple sources of unknown statistics, under possible misdetection. |
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Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection |
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